A Generic Model of Ontology to Visualize Information Science Domain (OIS)

Abstract

A Generic Model of Ontology to Visualize Information Science Domain(OIS)Original Citation Sawsaa, Ahlam (2013) A Generic Model of Ontology to Visualize Information Science Domain(OIS). Doctoral thesis, University of Huddersfield.This version is available at http://eprints.hud.ac.uk/id/eprint/17545/ The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or notforprofit purposes without prior permission or charge, provided:• The authors, title and full bibliographic details is credited in any copy;• A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way.For more information, including our policy and submission procedure, please contact the Repository A great thanks also to all who gave me a helping hand to reach the end of my journey. V AbstractOntology has been a subject of many studies carried out in artificial intelligence ( While the bottom-up method starts with description of the domain to gain a hierarchal taxonomy.-Designing Ontocop system a novel method presented to support the developing process as specific virtual community of IS. The Ontocop consists of a number of experts in the subject area around the world. Their feedback and assessment improve the ontology development during the creating process.The findings of the research revealed that overall feedback from the IS community has been positive and that the model met the ontology quality criteria. It was appropriate to provide consistency and clear understanding of the subject area. OIS ontology unifies information science, which is composed of library science, computer science and archival science, by creating the theoretical base useful for further practical systems. Developing ontology of information science (OIS) is not an easy task, due to the complex nature of the field. It needs to be integrated with other ontologies such as social science, cognitive science, philosophy, law management and mathematics, to provide a basic knowledge for the semantic web and also to leverage information retrieval.

Analyzing the "University Students’ Special Forces Traveling Style" with the Principles of Public Opinion Science

“…Published by Francis Academic Press, UK -33-more complex than the transmission of information and at a time when everything can be disseminated and circulated, when "the search for communication effects is painstakingly pursued", people are forced to face the challenge of "accepting or rejecting information" and the challenge of "the presence and autonomy of the other". According to the basic equation of information science I+K(S)=K(S+S) by the scholar Brookes , the result of the transformation of information into knowledge is affected by the carrier, the process of transformation, the method and the efficiency of transformation [2] . It can be interpreted that after information is transformed into knowledge, the information is meaningfully linked to the application of the information in action, and the resulting knowledge involves a wider range of information content than that of the original information.…”

Effective components on the process of concept and meaning creation and their application in ontologies: focusing on Peirce’s triadic sign model

“…Initially, a search was performed in top databases (Scopus, Emerald, ScienceDirect, Google Scholar, Web of Science and ProQuest) using keywords such as ontology and LIS, ontology design and LIS. The results showed more than 90% of the research on ontology design (Chimalakonda and Nori, 2020;Mate et al, 2015;Park, 2008;Riano et al, 2012;Sawsaa, 2013;Sharif, 2010;Zardari, 2017) adopted artificial intelligence and computer Concept and meaning creation science tools and, in some cases, converted thesauri to ontologies. The research population comprised scientific documents.…”